Zilong Lin

Luddy Hall 3051

700 N Woodlawn Avenue

Bloomington, IN, 47408

I am a fifth-year PhD student at the Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington. My research is co-advised by Prof. Xiaojing Liao and Prof. XiaoFeng Wang.

My research mainly focuses on system security, especially cybercrime and machine learning security. Presently, my exploration is centered on the security around Large Language Models (LLM).

Besides academic research, I’m also interested in violin and swimming. I am currently honing my skills in violin performance at the Jacobs School of Music, Indiana University Bloomington.

News

Apr 05, 2024	My personal website is online now. I will keep updating it.
Feb 29, 2024	Thrilled to provide the talk on LLM security to Capital One.
Jul 10, 2023	Our paper is accepted at IEEE S&P ‘24.

Selected publications

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services

Zilong Lin , Jian Cui , Xiaojing Liao , and XiaoFeng Wang

arXiv preprint arXiv:2401.03315, 2024

HTML PDF
MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion

Zilong Lin , Zhengyi Li , Xiaojing Liao , XiaoFeng Wang , and Xiaozhong Liu

IEEE Symposium on Security and Privacy (SP), 2024

HTML PDF

Demystifying local business search poisoning for illicit drug promotion

Peng Wang* , Zilong Lin* , Xiaojing Liao , and XiaoFeng Wang

ISOC Network and Distributed System Security Symposium (NDSS), 2022

Bib HTML PDF

@article{wang2022demystifying,
  title = {Demystifying local business search poisoning for illicit drug promotion},
  author = {Wang*, Peng and Lin*, Zilong and Liao, Xiaojing and Wang, XiaoFeng},
  journal = {ISOC Network and Distributed System Security Symposium (NDSS)},
  google_scholar_id = {UeHWp8X0CEIC},
  year = {2022}
}

PAKDD

IDSGAN: Generative adversarial networks for attack generation against intrusion detection

Zilong Lin , Yong Shi , and Zhi Xue

Pacific-asia conference on knowledge discovery and data mining (PAKDD), 2022

Bib HTML PDF

@article{lin2022idsgan,
  title = {IDSGAN: Generative adversarial networks for attack generation against intrusion detection},
  author = {Lin, Zilong and Shi, Yong and Xue, Zhi},
  journal = {Pacific-asia conference on knowledge discovery and data mining (PAKDD)},
  pages = {79--91},
  google_scholar_id = {u-x6o8ySG0sC},
  year = {2022},
  organization = {Springer}
}